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An exploration of the interrelated fields of design of experiments and sequential analysis with emphasis on the nature of theoretical statistics and how this relates to the philosophy and practice of statistics.
Preliminaries on ProbabilityGeneralities about the Conventional Theory of Design of ExperimentsOptimal Sample SizePreliminaries on RegressionDesign for Linear Regression: Elfving's MethodMaximum-Likelihood EstimationLocally Optimal Designs for EstimationMore Design in Regression ExperimentsTesting HypothesesOptimal Sample Size in TestingSequential Probability-Ratio TestOptimality of Sequential Probability-Ratio TestMotivation for an Approach to Sequential Design of Experiments in Testing HypothesesAsymptotic Optimality of Procedure A in Sequential DesignExtensions and Open Questions in Sequential DesignThe Problem of Adjacent HypothesesTesting for the Sign of a Normal Mean: No Indifference ZoneBandit ProblemsSequential Estimation of a Normal MeanSequential Estimation of the Common Mean of Two Normal Populations.
